检验医学 ›› 2024, Vol. 39 ›› Issue (10): 975-984.DOI: 10.3969/j.issn.1673-8640.2024.10.009

• 论著 • 上一篇    下一篇

基于GEO数据库筛选慢性肾脏病相关差异表达基因及其初步验证

张世球, 吕婕, 俞容, 王川玲, 林子艳, 朱永俊()   

  1. 海南医科大学第一属医院,海南 海口 570102
  • 收稿日期:2023-10-15 修回日期:2024-06-22 出版日期:2024-10-30 发布日期:2024-11-08
  • 通讯作者: 朱永俊,E-mail:Zyj418207195@yeah.net
  • 作者简介:张世球,男,1992年生,硕士,医师,主要从事慢性肾脏病的发生、发展机制研究。
  • 基金资助:
    国家自然科学基金地区项目(82060143);海南省卫生健康行业科研项目(22A200238)

Screening and preliminary verification of differentially expressed genes related to chronic kidney disease based on GEO database

ZHANG Shiqiu, LÜ Jie, YU Rong, WANG Chuanling, LIN Ziyan, ZHU Yongjun()   

  1. The First Affiliated Hospital of Hainan Medical University,Haikou 570102,Hainan,China
  • Received:2023-10-15 Revised:2024-06-22 Online:2024-10-30 Published:2024-11-08

摘要:

目的 基于GEO数据库分析慢性肾脏病(CKD)患者的差异表达基因,并采用细胞学实验进行验证,以寻找CKD新的潜在靶点。方法 从GEO数据库下载与CKD相关的微阵列数据(GSE66494数据集、GSE15072数据集和GSE30122数据集),采用生物信息学方法筛选出GSE66494数据集和GSE15072数据集中的差异表达基因,通过构建蛋白质-蛋白质互作(PPI)网络,确定Hub基因。在GSE30122数据集中分析筛选出的Hub基因的表达情况。采用NetworkAnalyst数据库构建微小RNA-Hub基因调控网络,筛选出与Hub基因关联居前5位的微小RNA。采用人近端肾小管上皮细胞系HK-2构建CKD细胞模型,根据加入的物质分为肿瘤坏死因子α(TNF-α)组(100 μg·L-1 TNF-α)、TNF-α+infliximab组[10 ng·mL-1 Infliximab(TNF-α特异性抑制剂)+100 μg·L-1 TNF-α]和对照组(含等比例二甲基亚砜的培养基)。检测各组Hub基因和微小RNA的表达。结果 共筛选出差异表达基因233个,其中表达上调20个、表达下调213个;从中筛选出10个Hub基因(HSP90AA1、IGF1、RENMMP2、ACTA2、PXNCOL3A1、CALCADMDLAMA2)和5个微小RNA(hsa-miR-29b-3p、hsa-miR-421、hsa-miR-29a-3p、hsa-miR-335-5p和hsa-let-7b-5p)。GSE30122数据集的分析结果显示,Hub基因在肾小管组织样本中表达更为显著。与对照组比较,TNF-α组出现明显的细胞坏死表现,细胞生长密度降低;HSP90AA1、IGF1、COL3A1、CALCA和hsa-miR-29b-3p、hsa-miR-421、hsa-miR-29a-3p相对表达量均显著升高(P<0.05)。与TNF-α组比较,TNF-α+infliximab组的细胞坏死表现明显改善,细胞生长密度增加;HSP90AA1、COL3A1和hsa-miR-29b-3p、hsa-miR-421、hsa-miR-29a-3p相对表达量均显著降低(P<0.05)。结论 基于GEO数据库筛选出10个与CKD相关的Hub基因和5个微小RNA,其中HSP90AA1、IGF1、COL3A1、CALCA、hsa-miR-29a-3p、hsa-miR-29b-3p、hsa-miR-421可能参与了CKD的发生、发展,或可作为CKD潜在的诊疗靶点。

关键词: 差异表达基因, 微小RNA, 慢性肾脏病

Abstract:

Objective Based on the GEO database,to analyze and verify the differentially expressed genes in patients with chronic kidney disease(CKD) by cytological experiments in order to find new potential targets for CKD. Methods The microarray data related to CKD(GSE66494 dataset,GSE15072 dataset and GSE30122 dataset) were downloaded from GEO database. The differentially expressed genes in GSE66494 dataset and GSE15072 dataset were screened by bioinformatics methods. Hub genes were identified by constructing protein-protein interaction(PPI) network. The expression of selected hub genes was analyzed in the GSE30122 dataset. The NetworkAnalyst database was used to construct a microRNA-hub gene regulatory network,and the top 5 miRNA with high association with hub genes were screened. The proximal telomeric renal tubular epithelial cell line HK-2 was used to construct a CKD cell model. According to the different substances added,they were classified into tumor necrosis factor-alpha(TNF-α) group(100 μg·L-1 TNF-α),TNF-α+infliximab group [10 ng·mL-1 infliximab(TNF-α specific inhibitor)+100 μg·L-1 TNF-α] and control group(equal proportion of solvent dimethylsulfoxide). The expression of hub gene and microRNA in each group was determined. Results A total of 233 differentially expressed genes were screened,which included 20 up-regulated genes and 213 down-regulated genes. Totally,10 hub genes(HSP90AA1,IGF1,RENMMP2,ACTA2,PXNCOL3A1,CALCADMDLAMA2) and 5 microRNAs(hsa-miR-29b-3p,hsa-miR-421,hsa-miR-29a-3p,hsa-miR-335-5p and hsa-let-7b-5p) were screened out. The analysis results of the GSE30122 dataset showed that the hub gene was more significantly expressed in renal tubular tissue samples. Compared with control group,TNF-α group showed obvious cell necrosis and decreased cell growth density. The relative expression levels of HSP90AA1,IGF1,COL3A1,CALCA and hsa-miR-29b-3p,hsa-miR-421,hsa-miR-29a-3p were increased(P<0.05). Compared with TNF-α group,the cell necrosis in TNF-α+infliximab group was improved,and the cell growth density was increased. The relative expression levels of HSP90AA1,COL3A1 and hsa-miR-29b-3p,hsa-miR-421,hsa-miR-29a-3p were decreased(P<0.05). Conclusions There are 10 hub genes and 5 microRNA selected from GEO database. HSP90AA1,IGF1,COL3A1,CALCA and hsa-miR-29a-3p,hsa-miR-29b-3p,hsa-miR-421 may be involved in the process of CKD development,which can be potential targets for CKD.

Key words: Differentially expressed gene, MicroRNA, Chronic kidney disease

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